metadata

dataset_info:
  - config_name: OSCAR-2301
    features:
      - name: id
        dtype: int64
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: categories
            sequence: string
          - name: dedup
            struct:
              - name: exact_norm
                struct:
                  - name: cluster_main_idx
                    dtype: int64
                  - name: cluster_size
                    dtype: int64
                  - name: exact_hash_idx
                    dtype: int64
                  - name: is_duplicate
                    dtype: bool
              - name: minhash
                struct:
                  - name: cluster_main_idx
                    dtype: int64
                  - name: cluster_size
                    dtype: int64
                  - name: is_duplicate
                    dtype: bool
                  - name: minhash_idx
                    dtype: int64
          - name: harmful_pp
            dtype: float64
          - name: identification
            struct:
              - name: label
                dtype: string
              - name: prob
                dtype: float64
          - name: quality_warnings
            sequence: string
          - name: sentence_identifications
            list:
              - name: label
                dtype: string
              - name: prob
                dtype: float64
          - name: tlsh
            dtype: string
          - name: warc_headers
            struct:
              - name: content-length
                dtype: int64
              - name: content-type
                dtype: string
              - name: warc-block-digest
                dtype: string
              - name: warc-date
                dtype: string
              - name: warc-identified-content-language
                dtype: string
              - name: warc-record-id
                dtype: string
              - name: warc-refers-to
                dtype: string
              - name: warc-target-uri
                dtype: string
              - name: warc-type
                dtype: string
    splits:
      - name: train
        num_bytes: 77259995670.30853
        num_examples: 10888966
    download_size: 42589347661
    dataset_size: 77259995670.30853
  - config_name: brwac
    features:
      - name: id
        dtype: int64
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: dedup
            struct:
              - name: exact_norm
                struct:
                  - name: cluster_main_idx
                    dtype: int64
                  - name: cluster_size
                    dtype: int64
                  - name: exact_hash_idx
                    dtype: int64
                  - name: is_duplicate
                    dtype: bool
              - name: minhash
                struct:
                  - name: cluster_main_idx
                    dtype: int64
                  - name: cluster_size
                    dtype: int64
                  - name: is_duplicate
                    dtype: bool
                  - name: minhash_idx
                    dtype: int64
          - name: doc_id
            dtype: string
          - name: title
            dtype: string
          - name: uri
            dtype: string
    splits:
      - name: train
        num_bytes: 18218935459.169613
        num_examples: 3513588
    download_size: 11210909325
    dataset_size: 18218935459.169613
  - config_name: cc100
    features:
      - name: id
        dtype: int64
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: dedup
            struct:
              - name: exact_norm
                struct:
                  - name: cluster_main_idx
                    dtype: int64
                  - name: cluster_size
                    dtype: int64
                  - name: exact_hash_idx
                    dtype: int64
                  - name: is_duplicate
                    dtype: bool
              - name: minhash
                struct:
                  - name: cluster_main_idx
                    dtype: int64
                  - name: cluster_size
                    dtype: int64
                  - name: is_duplicate
                    dtype: bool
                  - name: minhash_idx
                    dtype: int64
    splits:
      - name: train
        num_bytes: 53707749127.11777
        num_examples: 38059979
    download_size: 34844109320
    dataset_size: 53707749127.11777
configs:
  - config_name: OSCAR-2301
    data_files:
      - split: train
        path: OSCAR-2301/train-*
  - config_name: brwac
    data_files:
      - split: train
        path: brwac/train-*
  - config_name: cc100
    data_files:
      - split: train
        path: cc100/train-*
license: cc-by-4.0
task_categories:
  - text-generation
language:
  - pt
pretty_name: CrawlPT (deduplicated)
size_categories:
  - 10M<n<100M

CrawlPT (deduplicated)

CrawlPT is a generic Portuguese corpus extracted from various web pages.

Dataset Details

Dataset is composed by three corpora: brWaC, C100-PT, OSCAR-2301.

brWaC: a web corpus for Brazilian Portuguese from 120,000 different websites.
C100-PT: Portuguese subset from CC-100. C100 was created for training the multilingual Transformer XLM-R, containing two terabytes of cleaned data from 2018 snapshots of the Common Crawl project in 100 languages. We use the , which contains 49.1 GiB of text.
OSCAR-2301-PT: curation from OSCAR-2301 in the Portuguese language.

Dataset Description
Curated by: [More Information Needed]
Funded by: [More Information Needed]
Language(s) (NLP): Brazilian Portuguese (pt-BR)
License: Creative Commons Attribution 4.0 International Public License

Dataset Sources

Repository: https://github.com/eduagarcia/roberta-legal-portuguese
Paper: [More Information Needed]

Dataset Structure

[More Information Needed]

Data Collection and Processing

Raw corpora sizes in terms of billions of tokens and file size in GiB:

Corpus	Domain	Tokens (B)	Size (GiB)
brWaC	General	2.7	16.3
CC100 (PT)	General	8.4	49.1
OSCAR-2301 (PT)	General	18.1	97.8

CrawlPT is deduplicated using MinHash algorithm and Locality Sensitive Hashing, following the approach of Lee et al. (2022).

We used 5-grams and a signature of size 256, considering two documents to be identical if their Jaccard Similarity exceeded 0.7. Deduplicate rate found by the Minhash-LSH algorithm for the CrawlPT corpus:

Corpus	Documents	Docs. after deduplicatio}	Duplicates (%)
brWaC	3,530,796	3,513,588	0.49
OSCAR-2301 (PT Subset)	18,031,400	10,888,966	39.61
CC100 (PT Subset)	38,999,388	38,059,979	2.41
Total (CrawlPT)	60,561,584	52,462,533	13.37

Citation

@InProceedings{garcia2024_roberlexpt,
    author="Garcia, Eduardo A. S.
    and Silva, N{\'a}dia F. F.
    and Siqueira, Felipe
    and Gomes, Juliana R. S.
    and Albuqueruqe, Hidelberg O.
    and Souza, Ellen
    and Lima, Eliomar
    and De Carvalho, André",
    title="RoBERTaLexPT: A Legal RoBERTa Model pretrained with deduplication for Portuguese",
    booktitle="Computational Processing of the Portuguese Language",
    year="2024",
    publisher="Association for Computational Linguistics"
}

Acknowledgment

This work has been supported by the AI Center of Excellence (Centro de Excelência em Inteligência Artificial – CEIA) of the Institute of Informatics at the Federal University of Goiás (INF-UFG).